Major Sector Total Factor Productivity (MP) mp.txt Section Listing 1. Survey Definition 2. FTP files listed in the survey directory. 3. Time series, series file, data file, & mapping file definitions and relationships 4. Series file format and field definitions 5. Data file format and field definitions 6. Mapping file formats and field definitions 7. Data Element Dictionary 8. Code Changes ================================================================================ Section 1 ================================================================================ The following is a definition of (as of 9/07/2022): MAJOR SECTOR TOTAL FACTOR PRODUCTIVITY (MP) Description: Total factor productivity measures describe the relationship between output in real terms and the inputs involved in its production. The total factor productivity indexes for private business and private nonfarm business are derived by dividing an output index by an index of labor input and capital services. Labor input and capital services are combined using chained superlative Tornqvist aggregation, applying weights that represent each component's share of total costs. The chained superlative Tornqvist index uses changing weights; the share in each year is averaged with the preceding year's share. The total factor productivity indexes are derived by dividing an output index by an index of the combined inputs of labor, capital services, energy, non-energy materials, and purchased business services. The output index for manufacturing is computed using a chained superlative index (Tornqvist) of three-digit NAICS industry outputs. Industry output is measured as sectoral output, the total value of goods and services leaving the industry. This file contains TFP data on the following three major sectors; private business, private non-farm business, and total manufacturing. These sectors are coded as private business = 4900, private nonfarm business = 4910, and manufacturing = 9900. There is also available nondurable manufacturing = 9910, durable manufacturing = 9920, and two-digit level manufacturing = 5000-5850. There is also available non-manufacturing industries = 0011-0081. Private business includes all activities measured in the national accounts with the exception of general government, the output of paid employees of private households and nonprofit institutions, the "rest of the world" sector, the gross housing product of owner-occupied dwellings, the statistical discrepancy, and government enterprises. Private nonfarm business further excludes the farm sector. For each sector, measures of industry analytic ratios (e.g., total factor productivity, output per hour) are available as well as the basic data (e.g., hours, capital services) on which they are based. Data are obtained and derived from the following sources: Current Employment Statistics program (BLS), Current Population Survey (BLS), Work Survey (BLS), Censuses and Annual Surveys of Manufactures (Census Bureau), National Income and Product Accounts (BEA), and the Land Stock Data from the Department of Agriculture. Summary Data Available: There are 3 major sectors, 20 major industries, and 61 two-digit industries available on the LABSTAT database. All measures start in 1987. Frequency of Observations: Series are available on an annual basis. Base Period: Indexes have a base period of 2012 = 100. Data Characteristics: Indexes are stored to three decimal places. Updating Schedule: Updates are performed annually as data becomes available. Traditionally, all revisions to source data are reflected in the following release. References: BLS Handbook of Methods, located at https://www.bls.gov/productivity/handbook-of-methods.htm "Technical Information About the BLS Multifactor Productivity Measures" located at https://www.bls.gov/productivity/technical-notes/. ================================================================================== Section 2 ================================================================================== The following Major Sector Total Factor Productivity files are on the BLS internet in the sub-directory pub/time.series/mp: mp.contacts - Contacts for MP survey mp.data.1.AllData - All data mp.duration - Duration codes mapping file mp.footnote - Footnote codes mapping file mp.measure - Measure codes mapping file mp.period - Period codes mapping file mp.sector - Sector codes mapping file mp.series - All series and their beginning and end dates mp.txt - General information ================================================================================= Section 3 ================================================================================= The definition of a time series, its relationship to and the interrelationship among series, data and mapping files is detailed below: A time series refers to a set of data observed over an extended period of time over consistent time intervals (i.e. monthly, quarterly, semi-annually, annually). BLS time series data are typically produced at monthly intervals and represent data ranging from a specific consumer item in a specific geographical area whose price is gathered monthly to a category of worker in a specific industry whose employment rate is being recorded monthly, etc. The FTP files are organized such that data users are provided with the following set of files to use in their efforts to interpret data files: a) a series file (only one series file per survey) b) mapping files c) data files The series file contains a set of codes which, together, compose a series identification code that serves to uniquely identify a single time series. Additionally, the series file also contains the following series-level information: a) the period and year corresponding to the first data observation b) the period and year corresponding to the most recent data observation. The mapping files are definition files that contain explanatory text descriptions that correspond to each of the various codes contained within each series identification code. The data file contains one line of data for each observation period pertaining to a specific time series. Each line contains a reference to the following: a) a series identification code b) year in which data is observed c) period for which data is observed (M13, Q05, and S03 indicate annual averages) d) value e) footnote code (if available) ================================================================================= Section 4 ================================================================================= File Structure and Format: The following represents the file format used to define mp.series. Note that the Field Numbers are for reference only; they do not exist in the database. Data files are in ASCII text format. Data elements are separated by tabs; the first record of each file contains the column headers for the data elements stored in each field. Each record ends with a new line character. Field #/Data Element Length Value(Example) 1. series_id 17 MPU4900012 2. sector_code 4 4900 3. measure_code 2 01 4. duration 1 2 5. footnote_codes 10 02 6. begin_year 4 1987 7. begin_period 3 A01 8. end_year 4 2010 9. end_period 3 A01 The series_id (MPU4900012) can be broken out into: Code Value survey abbreviation = MP seasonal (code) = U sector_code = 4900 measure_code = 01 duration-code = 2 ================================================================================== Section 5 ================================================================================== File Structure and Format: The following represents the file format used to define each data file. Note that the field numbers are for reference only; they do not exist in the database. Data files are in ASCII text format. Data elements are separated by tabs; the first record of each file contains the column headers for the data elements stored in each field. Each record ends with a new line character. File Name: mp.data.1.AllData The above-named data file has the following format: Field #/Data Element Length Value(Example) 1. series_id 17 MPU4900012 2. year 4 1987 3. period 3 A01 4. value 12 81.318 5. footnote_codes 10 02 The series_id (MPU490001) can be broken out into: Code Value survey abbreviation = MP seasonal (code) = U sector_code = 4900 measure_code = 01 duration_code = 2 ================================================================================ Section 6 ================================================================================ File Structure and Format: The following represents the file format used to define each mapping file. Note that the field numbers are for reference only; they do not exist in the database. Mapping files are in ASCII text format. Data elements are separated by tabs; the first record of each file contains the column headers for the data elements stored in each field. Each record ends with a new line character. File Name: mp.duration Field #/Data Element Length Value(Example) 1. duration_code 1 2 2. duration_text 100 Text 3 display level 2 0 4 select table 1 T 5 sort_sequence 5 1 File Name: mp.footnote Field #/Data Element Length Value(Example) 1. footnote_code 2 01 2. footnote_text 200 Text File Name: mp.measure Field #/Data Element Length Value(Example) 1. measure_code 2 01 2. measure_text 70 Text 3 display level 2 0 4 select table 1 T 5 sort_sequence 5 1 File Name: mp.period Field #/Data Element Length Value(Example) 1. period 3 A01 2. period_abbr 6 Annual 3. period_name 20 Text File Name: mp.seasonal Field #/Data Element Length Value(Example) 1. seasonal_code 1 U 2. seasonal_text 30 Text File Name: mp.sector Field #/Data Element Length Value(Example) 1. sector_code 4 4900 2. sector_name 100 Text 3. display_level 2 0 4. selectable 1 T 5. sort_sequence 5 1 ========================================================================================= Section 7 ========================================================================================= MAJOR SECTOR TOTAL FACTOR PRODUCTIVITY (MP) DATABASE ELEMENTS Data Element Length Value(Example) Description base_year 4 YYYY Identifies the base year for the Ex: 2012 index presented begin_period 3 A01=Annual Identifies first data observation within the first year for which data is available for a given time series. begin_year 4 YYYY Identifies first year for which Ex: 1987 data is available for a given time series. Subject to change. duration_code 1 Ex: 2 Identifies whether data are a levels, indexes, or percent changes duration_text 100 Text Names levels. indexes, or percent changes Ex: Indexes = 100.000 end_period 3 A01=Annual Identifies last data observation within the last year for which data is available for a given time series. end_year 4 YYYY Identifies last year for which Ex. 2022 data is available for a given time series. footnote_code 2 02 Identifies footnote for the data series. footnote_text 100 Text Contains the text of the footnote. Ex. Real Value-Added Output divided by combined inputs measure_code 2 01 Identifies specific factor measured by the index. measure_text 70 Text Name of specific factor Ex: Total Factor measured in the index. Productivity period_abbr 3 Period name Abbreviation of period name. abbreviation Ex: ANN period 5 A01=Annual Identifies period for which data is observed. period_name 20 Text Full name of period to which Ex: Annual the data observation refers. seasonal_code 1 U=Not seasonally Identifies whether the data are adjusted seasonally adjusted. seasonal_text 30 Text Names seasonal adjustment status. Ex: Not seasonally adjusted sector_code 4 4900 Unique code identifying the sector of economy to which data refer. sector_name 75 Text Name of economic sector to Ex: Private Business which data refer. sector selectable 1 T=Selectable Identifies items that may be F=Not selectable selected in query tools (T) or items that are titles only and not selectable (F). series_id 17 Series identifier Unique code identifying the Ex: MPU4900012 specific series. sort_sequence 5 ex: 1 Identifies order that items will appear in single-screen query tool and informs hierarchical structure of data when combined with display_level information. value 12 Ex: 84.318 Data value for the series year 4 YYYY Identifies year of observation. Ex: 1987 ========================================================================================= Section 8 ========================================================================================= CODE ____________________________________________________________________________________________________________________ This information is on the Series ID format for the MP series. Data downloads on the BLS website are based on a unique series identifier called the "Series ID". A Series ID is generated according to predictable rules and generally do not change over time. A Series ID allows customers to download a particular measure or group of measures quickly and easily using the Series Report tool (URL https://data.bls.gov/cgi-bin/srgate ). ____________________________________________________________________________________________________________________ SeriesIDs: Format Code Text MPU4900042 Series ID MP Major Sector Total Factor Productivity U unadjusted for seasonal factors 4900 Private Business Sector (NAICS PG) 04 Capital Services 2 Indexes = 100.000 ____________________________________________________________ MFP.sector: Sector code and text Code Text 4900 Private Business Sector (NAICS PG) 4910 Private Nonfarm Business Sector (NAICS XG) ____________________________________________________________________________________________________________________ MFP.Measure: code measure code and text duration code and text Code Text Code Text 01 Total factor productivity 2 Indexes = 100.000 01 Total factor productivity 3 % Change Year Ago 02 Real value-added output 2 Indexes = 100.000 02 Real Value-added output 3 % Change Year Ago 03 Combined inputs 2 Indexes = 100.000 03 Combined inputs 3 % Change Year Ago 04 Capital inputs 2 Indexes = 100.000 04 Capital inputs 3 % Change Year Ago 05 Labor input 2 Indexes = 100.000 05 Labor input 3 % Change Year Ago 06 Labor productivity 2 Indexes = 100.000 06 Labor productivity 3 % Change Year Ago 07 Capital productivity 2 Indexes = 100.000 07 Capital productivity 3 % Change Year Ago 08 Capital intensity 2 Indexes = 100.000 08 Capital intensity 3 % Change Year Ago 09 Labor composition 2 Indexes = 100.000 09 Labor composition 3 % Change Year Ago 10 Value-added output, billions of current dollars 1 Levels 11 Capital costs, billions of current dollars 1 Levels 12 Labor Compensation, current dollars 1 Levels 13 Capital Share 1 Levels 14 Labor Share 1 Levels 15 Contribution of Capital Intensity to labor productivity 2 Indexes = 100.000 15 Contribution of Capital Intensity to labor productivity 3 % Change Year Ago 16 Contribution of information processing equipment (IPE) intensity to labor productivity 2 Indexes = 100.000 16 Contribution of information processing equipment (IPE) intensity to labor productivity 3 % Change Year Ago 17 Contribution of capital input excluding IPP and IPE intensity to labor productivity 2 Indexes = 100.000 17 Contribution of capital input excluding IPP and IPE intensity to labor productivity 3 % Change Year Ago 18 Contribution of labor composition to labor productivity 2 Indexes = 100.000 18 Contribution of labor composition to labor productivity 3 % Change Year Ago 19 Contribution of research and development (R&D) intensity to labor productivity 2 Indexes = 100.000 19 Contribution of research and development (R&D) intensity to labor productivity 3 % Change Year Ago 20 Contribution of intellectual property products (IPP) excluding R&D intensity to labor productivity 2 Indexes = 100.000 20 Contribution of intellectual property products (IPP) excluding R&D intensity to labor productivity 3 % Change Year Ago ____________________________________________________________________________________________________________________ KLEMS.sector: sector code and text Code Text 0011 Agriculture, forestry, fishing, and hunting (NAICS 11) 0021 Mining (NAICS 21) 0022 Utilities (NAICS 22) 0023 Construction (NAICS 23) 0042 Wholesale trade (NAICS 42) 0044 Retail trade (NAICS 44,45) 0048 Transportation and warehousing (NAICS 48-49) 0051 Information (NAICS 51) 0052 Finance and insurance (NAICS 52) 0053 Real estate and rental and leasing (NAICS 53) 0054 Professional, scientific, and technical services (NAICS 54) 0055 Management of companies and enterprises (NAICS 55) 0056 Administrative and waste management services (NAICS 56) 0061 Educational services (NAICS 61) 0062 Health care and social assistance (NAICS 62) 0071 Arts, entertainment, and recreation (NAICS 71) 0072 Accommodation and food services (NAICS 72) 0081 Other services, except government (NAICS 81) 0111 Crop & animal production (Farms) (NAICS 111,112) 0113 Forestry, fishing, and related activities (NAICS 113-115) 0211 Oil and gas extraction (NAICS 211) 0212 Mining, except oil and gas (NAICS 212) 0213 Support activities for mining (NAICS 213) 0481 Air transportation (NAICS 481) 0482 Rail transportation (NAICS 482) 0483 Water transportation (NAICS 483) 0484 Truck transportation (NAICS 484) 0485 Transit and ground passenger transportation (NAICS 485) 0486 Pipeline transportation (NAICS 486) 0487 Other transportation and support activities (NAICS 487,488,492) 0493 Warehousing and storage (NAICS 493) 0511 Publishing industries, except internet (includes software) (NAICS 511) 0512 Motion picture and sound recording industries (NAICS 512) 0515 Broadcasting and telecommunications (NAICS 515,517) 0518 Data processing, internet publishing, and other information services (NAICS 518,519) 0521 Federal reserve banks, credit intermediation, and related activities (NAICS 521,522) 0523 Securities, commodity contracts, and other financial investments and related activities (NAICS 523) 0524 Insurance carriers and related activities (NAICS 524) 0525 Funds, trusts, and other financial vehicles (NAICS 525) 0531 Real estate (NAICS 531) 0532 Rental and leasing services and lessors of nonfinancial and intangible assets (NAICS 532,533) 0561 Administrative and support services (NAICS 561) 0562 Waste management and remediation services (NAICS 562) 0621 Ambulatory health care services (NAICS 621) 0622 Hospitals and nursing and residential care facilities (NAICS 622,623) 0624 Social assistance (NAICS 624) 0711 Performing arts, spectator sports, museums, and related activities (NAICS 711,712) 0713 Amusements, gambling, and recreation industries (NAICS 713) 0721 Accommodation (NAICS 721) 0722 Food services and drinking places (NAICS 722) 4244 Trade (NAICS 42,44-45) 5000 Wood products (NAICS 321) 5050 Nonmetallic mineral products (NAICS 327) 5100 Primary metal products (NAICS 331) 5150 Fabricated metal products (NAICS 332) 5200 Machinery (NAICS 333) 5250 Computer and electronic products (NAICS 334) 5253 Finance, insurance, real estate, and leasing (NAICS 52-53) 5300 Electrical equipment, appliances, and components (NAICS 335) 5360 Motor vehicles, bodies and trailers, and parts (NAICS 3361-3363) 5370 Other transportation equipment (NAICS 3364-3369) 5400 Furniture and related products (NAICS 337) 5411 Legal services (NAICS 5411) 5412 Miscellaneous professional, scientific, and technical services (NAICS 5412-5414,5416-5419) 5415 Computer systems design and related services (NAICS 5415) 5450 Miscellaneous manufacturing (NAICS 339) 5456 Professional and business services (NAICS 54-56) 5481 Services (NAICS 54-81) 5500 Food and beverage and tobacco products (NAICS 311,312) 5550 Textile mills and textile product mills (NAICS 313,314) 5600 Apparel and leather and applied products (NAICS 315,316) 5650 Paper products (NAICS 322) 5700 Printing and related support activities (NAICS 323) 5750 Petroleum and coal products (NAICS 324) 5800 Chemical products (NAICS 325) 5850 Plastics and rubber products (NAICS 326) 6162 Educational services, health care, and social assistance (NAICS 61-62) 7172 Arts, entertainment, recreation, accommodation, and food services (NAICS 71-72) 9900 Manufacturing Sector (NAICS MN) 9910 Nondurable Manufacturing Sector (NAICS ND) 9920 Durable Manufacturing Sector (NAICS DM) ____________________________________________________________________________________________________________________ KLEMS.measure: code measure code and text duration code and text Code Text Code Text 01 Total factor productivity 2 Indexes = 100.000 01 Total factor productivity 3 % Change Year Ago 03 Combined inputs 2 Indexes = 100.000 03 Combined inputs 3 % Change Year Ago 04 Capital inputs 2 Indexes = 100.000 04 Capital inputs 3 % Change Year Ago 06 Labor productivity 2 Indexes = 100.000 06 Labor productivity 3 % Change Year Ago 07 Capital productivity 2 Indexes = 100.000 07 Capital productivity 3 % Change Year Ago 08 Capital intensity 3 % Change Year Ago 08 Capital intensity 2 Indexes = 100.000 51 Real sectoral output 2 Indexes = 100.000 51 Real sectoral output 3 % Change Year Ago 55 Energy input 2 Indexes = 100.000 55 Energy input 3 % Change Year Ago 56 Materials input 2 Indexes = 100.000 56 Materials inputs 3 % Change Year Ago 57 Purchased services input 2 Indexes = 100.000 57 Purchased services input 3 % Change Year Ago 61 Value of production, billions of current dollars 1 Levels 62 Capital payments, billions of current dollars 1 Levels 63 Labor cost, billions of current dollars 1 Levels 64 Energy cost, billions of current dollars 1 Levels 65 Materials cost, billions of current dollars 1 Levels 66 Purchased services cost, billions of current 1 Levels 67 Capital share 1 Levels 68 Labor share 1 Levels 69 Energy share 1 Levels 70 Materials share 1 Levels 71 Purchased services share 1 Levels 15 Contribution of capital Intensity to labor productivity 2 Indexes = 100.000 15 Contribution of capital Intensity to labor productivity 3 % Change Year Ago 16 Contribution of information processing equipment (IPE) intensity to labor productivity 2 Indexes = 100.000 16 Contribution of information processing equipment (IPE) intensity to labor productivity 3 % Change Year Ago 17 Contribution of capital input excluding IPP and IPE intensity to labor productivity 2 Indexes = 100.000 17 Contribution of capital input excluding IPP and IPE intensity to labor productivity 3 % Change Year Ago 18 Contribution of labor composition to labor productivity 2 Indexes = 100.000 18 Contribution of labor composition to labor productivity 3 % Change Year Ago 19 Contribution of research and development (R&D) intensity to labor productivity 2 Indexes = 100.000 19 Contribution of research and development (R&D) intensity to labor productivity 3 % Change Year Ago 20 Contribution of intellectual property products (IPP) excluding R&D intensity to labor productivity 2 Indexes = 100.000 20 Contribution of intellectual property products (IPP) excluding R&D intensity to labor productivity 3 % Change Year Ago 74 Contribution of energy intensity to labor productivity 2 Indexes = 100.000 74 Contribution of energy intensity to labor productivity 3 % Change Year Ago 76 Contribution of materials intensity to labor productivity 2 Indexes = 100.000 76 Contribution of materials intensity to labor productivity 3 % Change Year Ago 77 Contribution of purchased services Intensity to labor productivity 2 Indexes = 100.000 77 Contribution of purchased services Intensity to labor productivity 3 % Change Year Ago 78 Contribution of intermediate inputs to labor productivity 2 Indexes = 100.000 78 Contribution of iIntermediate inputs to labor productivity 3 % Change Year Ago